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DBMS > Apache Druid vs. ObjectBox vs. RethinkDB vs. SQream DB

System Properties Comparison Apache Druid vs. ObjectBox vs. RethinkDB vs. SQream DB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonObjectBox  Xexclude from comparisonRethinkDB  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsDBMS for the Web with a mechanism to push updated query results to applications in realtime.a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMS
Time Series DBMS
Object oriented DBMS
Vector DBMS
Document storeRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitedruid.apache.orggithub.com/­objectbox
objectbox.io
rethinkdb.comsqream.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.objectbox.iorethinkdb.com/­docsdocs.sqream.com
DeveloperApache Software Foundation and contributorsObjectBox LimitedThe Linux Foundation infosince July 2017SQream Technologies
Initial release2012201720092017
Current release29.0.1, April 20244.0 (May 2024)2.4.1, August 20202022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Bindings are released under Apache 2.0 infoApache License 2.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Unix
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
OS X
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesyes infostring, binary, float, bool, date, geometryyes, ANSI Standard SQL Types
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL for queryingnonoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary native API.Net
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functions in Python
TriggersnonoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneSharding inforange basedhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesData sync between devices allowing occasional connected databases to work completely offlineSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesyes infousers and table-level permissions
More information provided by the system vendor
Apache DruidObjectBoxRethinkDBSQream DB
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